A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters

M. Lawanya Shri; E. Ganga Devi; Balamurugan Balusamy; Seifedine Kadry; Sanjay Misra; Modupe Odusami

doi:10.1007/978-3-030-16681-6_46

A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters

M. Lawanya Shri
, E. Ganga Devi
, Balamurugan Balusamy
, Seifedine Kadry
, Sanjay Misra
, Modupe Odusami

Vellore Institute of Technology
Loyla College
Galgotias University
Beirut Arab University
Covenant University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms.

Original language	English
Title of host publication	Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018
Editors	Ajith Abraham, Niketa Gandhi, Millie Pant
Publisher	Springer Verlag
Pages	463-473
Number of pages	11
ISBN (Print)	9783030166809
DOIs	https://doi.org/10.1007/978-3-030-16681-6_46
State	Published - 2019
Externally published	Yes
Event	9th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2018 and 7th World Congress on Information and Communication Technologies, WICT 2018 - Kochi, India Duration: 17 Dec 2018 → 19 Dec 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	939
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	9th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2018 and 7th World Congress on Information and Communication Technologies, WICT 2018
Country/Territory	India
City	Kochi
Period	17/12/18 → 19/12/18

Keywords

Cloud computing
Firefly algorithm
Fuzzy rules
Load balancing
Simulated annealing algorithm

Access to Document

10.1007/978-3-030-16681-6_46

Cite this

Lawanya Shri, M., Ganga Devi, E., Balusamy, B., Kadry, S., Misra, S., & Odusami, M. (2019). A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters. In A. Abraham, N. Gandhi, & M. Pant (Eds.), Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018 (pp. 463-473). (Advances in Intelligent Systems and Computing; Vol. 939). Springer Verlag. https://doi.org/10.1007/978-3-030-16681-6_46

Lawanya Shri, M. ; Ganga Devi, E. ; Balusamy, Balamurugan et al. / A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters. Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018. editor / Ajith Abraham ; Niketa Gandhi ; Millie Pant. Springer Verlag, 2019. pp. 463-473 (Advances in Intelligent Systems and Computing).

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title = "A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters",

abstract = "Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms.",

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Lawanya Shri, M, Ganga Devi, E, Balusamy, B, Kadry, S, Misra, S & Odusami, M 2019, A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters. in A Abraham, N Gandhi & M Pant (eds), Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018. Advances in Intelligent Systems and Computing, vol. 939, Springer Verlag, pp. 463-473, 9th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2018 and 7th World Congress on Information and Communication Technologies, WICT 2018, Kochi, India, 17/12/18. https://doi.org/10.1007/978-3-030-16681-6_46

A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters. / Lawanya Shri, M.; Ganga Devi, E.; Balusamy, Balamurugan et al.
Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018. ed. / Ajith Abraham; Niketa Gandhi; Millie Pant. Springer Verlag, 2019. p. 463-473 (Advances in Intelligent Systems and Computing; Vol. 939).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters

AU - Lawanya Shri, M.

AU - Ganga Devi, E.

AU - Balusamy, Balamurugan

AU - Kadry, Seifedine

AU - Misra, Sanjay

AU - Odusami, Modupe

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AB - Cloud computing technology has massive inferences with the use of virtualization technologies. Most of the organizations have incorporated to practice the virtualization strategies to create and operate an effective dynamic data center. The growing maturity of the technologies and utilities of the cloud make the users hasten the adoption of the cloud. The dynamic demanding nature of cloud resources leads to an imbalance in virtual machine utilization and radically increases the energy consumption and operating cost of the data center. In this paper, we propose a fuzzy based hybrid load balancing algorithm for the optimal utilization of virtual machines. The proposed algorithm aim is to reduce the makespan, response time and cost with minimal energy usage and resource wastage. The fuzzy based hybrid optimization approach unveils better performance than existing metaheuristic load balancing algorithms.

KW - Cloud computing

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KW - Simulated annealing algorithm

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PB - Springer Verlag

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ER -

Lawanya Shri M, Ganga Devi E, Balusamy B, Kadry S, Misra S, Odusami M. A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters. In Abraham A, Gandhi N, Pant M, editors, Innovations in Bio-Inspired Computing and Applications - Proceedings of the 9th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2018. Springer Verlag. 2019. p. 463-473. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-16681-6_46

A fuzzy based hybrid firefly optimization technique for load balancing in cloud datacenters

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Keywords

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